Table Recognition On Pubtabnet
Metriken
TEDS (all samples)
TEDS-Struct
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | TEDS (all samples) | TEDS-Struct |
|---|---|---|
| trust-an-accurate-and-end-to-end-table | 96.2 | 97.1 |
| high-performance-transformers-for-table | 96.53 | - |
| image-based-table-recognition-data-model-and | 88.3 | - |
| lgpma-complicated-table-structure-recognition | 94.6 | 96.7 |
| table-structure-recognition-using-top-down-1 | 90.1 | 90.1 |
| multi-cell-decoder-and-mutual-learning-for | 96.87 | - |
| pingan-vcgroup-s-solution-for-icdar-2021 | 96.76 | - |
| split-embed-and-merge-an-accurate-table | 93.7 | - |
| tsrformer-table-structure-recognition-with | - | 97.5 |
| pp-structurev2-a-stronger-document-analysis | 96.3 | 97.01 |
| robust-table-detection-and-structure | - | 97 |
| neural-collaborative-graph-machines-for-table | 95.4 | - |
| an-end-to-end-multi-task-learning-model-for-1 | 96.67 | 97.88 |